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Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL, the
underestimated
“Big Data” technology
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
No – tation
Seen at the 2013 O’Reilly Strata Conf:
History of NoSQL by Mark Madsen. Picture published by Edd Dumbill
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
NoSQL?
NoSQL?
No, SQL!
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Our vision at Data Geekery
- SQL dominates database systems
- SQL is very expressive
- SQL is very type safe
SQL is a device whose mystery is
only exceeded by its power!
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Me – @lukaseder
Java developers can get back in
control of SQL with jOOQ
- Head of R&D at Data Geekery GmbH
- SQL Aficionado
- Java Aficionado
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Big Data? NoSQL?
- You’re giving up on ACID
- You’re giving up on type safety
- You’re giving up on standards
- You’re giving up on tooling
- You’re giving up on relational algebra
- You haven’t asked operations
- You don’t actually have «Big Data»
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Big Data? NoSQL?
- You’re giving up on ACID
- You’re giving up on type safety
- You’re giving up on standards
- You’re giving up on tooling
- You’re giving up on relational algebra
- You haven’t asked operations
- You don’t actually have «Big Data»
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Also Not SQL
@Entity @Table(name = "EVENTS")
public class Event {
private Long id;
private String title;
private Date date;
@Id @GeneratedValue(generator = "increment")
@GenericGenerator(name = "increment", strategy = "increment")
public Long getId() { /* … */ }
@Temporal(TemporalType.TIMESTAMP)
@Column(name = "EVENT_DATE")
public Date getDate() { /* … */ }
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Also Not SQL – Annotatiomania™
@OneToMany(mappedBy = "destCustomerId")
@ManyToMany
@Fetch(FetchMode.SUBSELECT)
@JoinTable(
name = "customer_dealer_map",
joinColumns = {
@JoinColumn(name = "customer_id", referencedColumnName = "id")
},
inverseJoinColumns = {
@JoinColumn(name = "dealer_id", referencedColumnName = "id")
}
)
private Collection dealers;
Found at http://stackoverflow.com/q/17491912/521799
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Also Not SQL – JPA 3.0 Preview
@OneToMany @OneToManyMore @AnyOne @AnyBody
@ManyToMany @Many
@Fetch @FetchMany @FetchWithDiscriminator(name = "no_name")
@JoinTable(joinColumns = {
@JoinColumn(name = "customer_id", referencedColumnName = "id")
})
@PrefetchJoinWithDiscriminator
@IfJoiningAvoidHashJoins @ButUseHashJoinsWhenMoreThan(records = 1000)
@XmlDataTransformable @SpringPrefechAdapter
private Collection employees;
Might not be true
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Shocker! You can now write SQL in Java.
JDBC
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL in Java 7 – JDBC
try (PreparedStatement stmt = c.prepareStatement(sql);
ResultSet rs = stmt.executeQuery()) {
while (rs.next()) {
System.out.println(
new Schema(rs.getString("SCHEMA_NAME"),
rs.getBoolean("IS_DEFAULT"))
);
}
}
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL in Java 8 – jOOQ
DSL.using(c)
.fetch(sql)
.map(rs -> new Schema(
rs.getValue("SCHEMA_NAME", String.class),
rs.getValue("IS_DEFAULT", boolean.class)
))
.forEach(System.out::println);
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Typesafe SQL in Java – jOOQ
DSL.using(c)
.select(s.SCHEMA_NAME, s.IS_DEFAULT)
.from(INFORMATION_SCHEMA.SCHEMATA.as("s"))
.orderBy(s.SCHEMA_NAME)
.map(rs -> new Schema(
rs.getValue(s.SCHEMA_NAME),
rs.getValue(s.IS_DEFAULT)
))
.forEach(System.out::println);
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL in Java 8 – Spring JDBC
new JdbcTemplate(
new SingleConnectionDataSource(c, true))
.query(sql, (rs, rowNum) ->
new Schema(
rs.getString("SCHEMA_NAME"),
rs.getBoolean("IS_DEFAULT")
))
.forEach(System.out::println);
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL in Java 8 – Apache DbUtils
new QueryRunner()
.query(c, sql, new ArrayListHandler())
.stream()
.map(array -> new Schema(
(String) array[0],
(Boolean) array[1]
))
.forEach(System.out::println);
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL in Groovy
sql.eachRow( 'select * from tableName' ) {
println "$it.id -- ${it.firstName} --"
}
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
When you should use SQL – indicators
- You need JOINs, UNIONs
- You need functions, aggregations
- You need bulk reads / writes
Calculations should be
done close to the data
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Please, run that calculation in your DB
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL Trivia – NULL
-- What does this query return?
SELECT 1 AS a FROM dual
WHERE 1 IN (NULL)
UNION ALL
SELECT 2 AS a FROM dual
WHERE NOT(1 IN (NULL))
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL Trivia – NULL
-- What does this query return?
SELECT 1 AS a FROM dual
WHERE 1 IN (NULL)
UNION ALL
SELECT 2 AS a FROM dual
WHERE NOT(1 IN (NULL))
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL Trivia – NULL
-- Nothing! It’s the same as this
SELECT 1 AS a FROM dual
WHERE 1 = NULL
UNION ALL
SELECT 2 AS a FROM dual
WHERE 1 != NULL
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL Trivia – NULL
-- Nothing! It’s the same as this
SELECT 1 AS a FROM dual
WHERE “UNKNOWN”
UNION ALL
SELECT 2 AS a FROM dual
WHERE “UNKNOWN”
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL Trivia – Oracle VARCHAR2
-- What does this query return?
SELECT 1 AS a FROM dual
WHERE '' = ''
UNION ALL
SELECT 2 AS a FROM dual
WHERE 'a' != ''
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL Trivia – Oracle VARCHAR2
-- Nope! Nothing again (only in Oracle).
SELECT 1 AS a FROM dual
WHERE NULL = NULL
UNION ALL
SELECT 2 AS a FROM dual
WHERE 'a' != NULL
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SQL Trivia – Oracle VARCHAR2
-- Nope! Nothing again (only in Oracle).
SELECT 1 AS a FROM dual
WHERE NULL = NULL
UNION ALL
SELECT 2 AS a FROM dual
WHERE 'a' != NULL
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Stockholm Syndrome:
We love JavaScript SQL
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Winston Churchill:
SQL is the worst form of
database querying, except
for all the other forms.
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Let’s calculate a running total
SELECT *
FROM v_transactions
WHERE account_id = 1
ORDER BY value_date DESC,
id DESC
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Let’s calculate a running total
| ID | VALUE_DATE | AMOUNT |
|------|------------|--------|
| 9997 | 2014-03-18 | 99.17 |
| 9981 | 2014-03-16 | 71.44 |
| 9979 | 2014-03-16 | -94.60 |
| 9977 | 2014-03-16 | -6.96 |
| 9971 | 2014-03-15 | -65.95 |
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Let’s calculate a running total
| ID | VALUE_DATE | AMOUNT | BALANCE |
|------|------------|--------|------------|
| 9997 | 2014-03-18 | 99.17 | 19985.81 |
| 9981 | 2014-03-16 | 71.44 | 19886.64 |
| 9979 | 2014-03-16 | -94.60 | 19815.20 |
| 9977 | 2014-03-16 | -6.96 | 19909.80 |
| 9971 | 2014-03-15 | -65.95 | 19916.76 |
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Let’s calculate a running total
| ID | VALUE_DATE | AMOUNT | BALANCE |
|------|------------|--------|------------|
| 9997 | 2014-03-18 | +99.17 =19985.81 |
| 9981 | 2014-03-16 | 71.44 | +19886.64 |
| 9979 | 2014-03-16 | -94.60 | 19815.20 |
| 9977 | 2014-03-16 | -6.96 | 19909.80 |
| 9971 | 2014-03-15 | -65.95 | 19916.76 |
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Let’s calculate a running total
| ID | VALUE_DATE | AMOUNT | BALANCE |
|------|------------|--------|------------|
| 9997 | 2014-03-18 | 99.17 | 19985.81 |
| 9981 | 2014-03-16 | +71.44 =19886.64 |
| 9979 | 2014-03-16 | -94.60 | +19815.20 |
| 9977 | 2014-03-16 | -6.96 | 19909.80 |
| 9971 | 2014-03-15 | -65.95 | 19916.76 |
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Let’s calculate a running total
| ID | VALUE_DATE | AMOUNT | BALANCE |
|------|------------|--------|------------|
| 9997 | 2014-03-18 | 99.17 | 19985.81 |
| 9981 | 2014-03-16 | +71.44 =19886.64 | n
| 9979 | 2014-03-16 | -94.60 | +19815.20 | n+1
| 9977 | 2014-03-16 | -6.96 | 19909.80 |
| 9971 | 2014-03-15 | -65.95 | 19916.76 |BALANCE(ROWn) = BALANCE(ROWn+1) + AMOUNT(ROWn)
BALANCE(ROWn+1) = BALANCE(ROWn) – AMOUNT(ROWn)
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
How can we do it?
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
How can we do it?
- In Java
- Calculate on UPDATE
- Nested SELECT
- Recursive SQL
- Window functions
- MODEL clause (Oracle)
- Stored procedures
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
How can we do it? – With SQL!
- In Java
- Calculate on UPDATE
- Nested SELECT
- Recursive SQL
- Window functions
- MODEL clause (Oracle)
- Stored procedures
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Using nested SELECTs
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SELECT
t1.*,
t1.current_balance - (
SELECT NVL(SUM(amount), 0)
FROM v_transactions t2
WHERE t2.account_id = t1.account_id
AND (t2.value_date, t2.id) >
(t1.value_date, t1.id)
) AS balance
FROM v_transactions t1
WHERE t1.account_id = 1
ORDER BY t1.value_date DESC, t1.id DESC
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SELECT
t1.*,
t1.current_balance - (
SELECT NVL(SUM(amount), 0)
FROM v_transactions t2
WHERE t2.account_id = t1.account_id
AND (t2.value_date, t2.id) >
(t1.value_date, t1.id)
) AS balance
FROM v_transactions t1
WHERE t1.account_id = 1
ORDER BY t1.value_date DESC, t1.id DESC
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SELECT
t1.*,
t1.current_balance - (
SELECT NVL(SUM(amount), 0)
FROM v_transactions t2
WHERE t2.account_id = t1.account_id
AND ((t2.value_date > t1.value_date) OR
(t2.value_date = t1.value_date AND
t2.id > t1.id))
) AS balance
FROM v_transactions t1
WHERE t1.account_id = 1 ORDER BY ...
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Using nested SELECTs
| ID | VALUE_DATE | AMOUNT | BALANCE |
|------|------------|--------|------------|
| 9997 | 2014-03-18 -(99.17)| +19985.81 |
| 9981 | 2014-03-16 -(71.44)| 19886.64 |
| 9979 | 2014-03-16 -(-94.60)| 19815.20 |
| 9977 | 2014-03-16 | -6.96 | =19909.80 |
| 9971 | 2014-03-15 | -65.95 | 19916.76 |
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
| Id | Operation | Name | A-Rows | A-Time |
------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 50 |00:00:00.77 |
| 1 | SORT AGGREGATE | | 1101 |00:00:00.76 |
|* 2 | TABLE ACCESS BY INDEX ROWID | T_TRANSACTIONS | 605K|00:00:00.69 |
|* 3 | INDEX RANGE SCAN | I_TRX_ACCO_ID | 1212K|00:00:00.21 |
| 4 | SORT ORDER BY | | 50 |00:00:00.77 |
| 5 | NESTED LOOPS | | 1101 |00:00:00.01 |
| 6 | TABLE ACCESS BY INDEX ROWID| T_ACCOUNTS | 1 |00:00:00.01 |
|* 7 | INDEX UNIQUE SCAN | SYS_C006991 | 1 |00:00:00.01 |
| 8 | TABLE ACCESS BY INDEX ROWID| T_TRANSACTIONS | 1101 |00:00:00.01 |
|* 9 | INDEX RANGE SCAN | I_TRX_ACCO_ID | 1101 |00:00:00.01 |
------------------------------------------------------------------------------
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Using recursive SQL
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
We need to number transactions
| ID | VALUE_DATE | AMOUNT | TRANSACTION_NR |
|------|------------|--------|----------------|
| 9997 | 2014-03-18 | 99.17 | 1 |
| 9981 | 2014-03-16 | 71.44 | 2 |
| 9979 | 2014-03-16 | -94.60 | 3 |
| 9977 | 2014-03-16 | -6.96 | 4 |
| 9971 | 2014-03-15 | -65.95 | 5 |
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
CREATE OR REPLACE VIEW v_transactions_by_time
AS
SELECT
t.*,
ROW_NUMBER() OVER (
PARTITION BY account_id
ORDER BY t.value_date DESC,
t.id DESC
) AS transaction_number
FROM
v_transactions t;
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
WITH ordered_with_balance (
account_id, value_date, amount, balance, transaction_number
)
AS (
SELECT t1.account_id, t1.value_date, t1.amount, t1.current_balance,
t1.transaction_number
FROM v_transactions_by_time t1
WHERE t1.transaction_number = 1
UNION ALL
SELECT t1.account_id, t1.value_date, t1.amount, t2.balance - t2.amount,
t1.transaction_number
FROM ordered_with_balance t2
JOIN v_transactions_by_time t1
ON t1.transaction_number = t2.transaction_number + 1
AND t1.account_id = t2.account_id
)
SELECT *
FROM ordered_with_balance
WHERE account_id = 1
ORDER BY transaction_number ASC
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
WITH ordered_with_balance (
account_id, value_date, amount, balance, transaction_number
)
AS (
SELECT t1.account_id, t1.value_date, t1.amount, t1.current_balance,
t1.transaction_number
FROM v_transactions_by_time t1
WHERE t1.transaction_number = 1
UNION ALL
SELECT t1.account_id, t1.value_date, t1.amount, t2.balance - t2.amount,
t1.transaction_number
FROM ordered_with_balance t2
JOIN v_transactions_by_time t1
ON t1.transaction_number = t2.transaction_number + 1
AND t1.account_id = t2.account_id
)
SELECT *
FROM ordered_with_balance
WHERE account_id = 1
ORDER BY transaction_number ASC
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
WITH ordered_with_balance (
account_id, value_date, amount, balance, transaction_number
)
AS (
SELECT t1.account_id, t1.value_date, t1.amount, t1.current_balance,
t1.transaction_number
FROM v_transactions_by_time t1
WHERE t1.transaction_number = 1
UNION ALL
SELECT t1.account_id, t1.value_date, t1.amount, t2.balance - t2.amount,
t1.transaction_number
FROM ordered_with_balance t2
JOIN v_transactions_by_time t1
ON t1.transaction_number = t2.transaction_number + 1
AND t1.account_id = t2.account_id
)
SELECT *
FROM ordered_with_balance
WHERE account_id = 1
ORDER BY transaction_number ASC
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
---------------------------------------------------------------------------------------------------
| Id | Operation | Name | A-Rows | A-Time |
---------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 50 |00:00:35.29 |
| 1 | SORT ORDER BY | | 50 |00:00:35.29 |
|* 2 | VIEW | | 1101 |00:00:35.29 |
| 3 | UNION ALL (RECURSIVE WITH) BREADTH FIRST| | 9999 |00:00:35.28 |
|* 4 | VIEW | V_TRANSACTIONS_BY_TIME | 9 |00:00:00.03 |
|* 5 | WINDOW SORT PUSHED RANK | | 18 |00:00:00.03 |
| 6 | NESTED LOOPS | | 9999 |00:00:00.01 |
| 7 | NESTED LOOPS | | 9999 |00:00:00.01 |
| 8 | TABLE ACCESS FULL | T_ACCOUNTS | 10 |00:00:00.01 |
|* 9 | INDEX RANGE SCAN | I_TRX_ACCO_ID | 9999 |00:00:00.01 |
| 10 | TABLE ACCESS BY INDEX ROWID | T_TRANSACTIONS | 9999 |00:00:00.01 |
|* 11 | HASH JOIN | | 9990 |00:00:35.08 |
| 12 | VIEW | V_TRANSACTIONS_BY_TIME | 11M|00:00:29.13 |
| 13 | WINDOW SORT | | 11M|00:00:27.19 |
| 14 | NESTED LOOPS | | 11M|00:00:13.62 |
| 15 | NESTED LOOPS | | 11M|00:00:03.89 |
| 16 | INDEX FAST FULL SCAN | SYS_C006991 | 11450 |00:00:00.06 |
|* 17 | INDEX RANGE SCAN | I_TRX_ACCO_ID | 11M|00:00:02.18 |
| 18 | TABLE ACCESS BY INDEX ROWID | T_TRANSACTIONS | 11M|00:00:06.15 |
| 19 | RECURSIVE WITH PUMP | | 9999 |00:00:00.01 |
---------------------------------------------------------------------------------------------------
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Using window
functions
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SELECT
t.*,
t.current_balance - NVL(
SUM(t.amount) OVER (
PARTITION BY t.account_id
ORDER BY t.value_date DESC,
t.id DESC
ROWS BETWEEN UNBOUNDED PRECEDING
AND 1 PRECEDING
),
0) AS balance
FROM v_transactions t
WHERE t.account_id = 1
ORDER BY t.value_date DESC,
t.id DESC
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SELECT
t.*,
t.current_balance - NVL(
SUM(t.amount) OVER (
PARTITION BY t.account_id
ORDER BY t.value_date DESC,
t.id DESC
ROWS BETWEEN UNBOUNDED PRECEDING
AND 1 PRECEDING
),
0) AS balance
FROM v_transactions t
WHERE t.account_id = 1
ORDER BY t.value_date DESC,
t.id DESC
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Using window functions
| ID | VALUE_DATE | AMOUNT | BALANCE |
|------|------------|--------|------------|
| 9997 | 2014-03-18 -(99.17)| +19985.81 |
| 9981 | 2014-03-16 -(71.44)| 19886.64 |
| 9979 | 2014-03-16 -(-94.60)| 19815.20 |
| 9977 | 2014-03-16 | -6.96 | =19909.80 |
| 9971 | 2014-03-15 | -65.95 | 19916.76 |
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
------------------------------------------------------------------------------
| Id | Operation | Name | A-Rows | A-Time |
------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 50 |00:00:00.01 |
| 1 | WINDOW SORT | | 50 |00:00:00.01 |
| 2 | NESTED LOOPS | | 1101 |00:00:00.01 |
| 3 | TABLE ACCESS BY INDEX ROWID| T_ACCOUNTS | 1 |00:00:00.01 |
|* 4 | INDEX UNIQUE SCAN | SYS_C006991 | 1 |00:00:00.01 |
| 5 | TABLE ACCESS BY INDEX ROWID| T_TRANSACTIONS | 1101 |00:00:00.01 |
|* 6 | INDEX RANGE SCAN | I_TRX_ACCO_ID | 1101 |00:00:00.01 |
------------------------------------------------------------------------------
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
«jOOQ» 10% discount code
Performance – Please read this book
Markus Winand from
Use-The-Index-Luke.com
ROI of 83’800% (time AND money)
Achieve proper indexing and
performance in popular RDBMS
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Using the Oracle
MODEL clause
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SELECT account_id, value_date, amount, balance
FROM (
SELECT id, account_id, value_date, amount,
current_balance AS balance
FROM v_transactions
) t
WHERE account_id = 1
MODEL
PARTITION BY (account_id)
DIMENSION BY (
ROW_NUMBER() OVER (ORDER BY value_date DESC, id DESC) AS rn
)
MEASURES (value_date, amount, balance)
RULES (
balance[rn > 1] = balance[cv(rn) - 1] - amount[cv(rn) - 1]
)
ORDER BY rn ASC
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SELECT account_id, value_date, amount, balance
FROM (
SELECT id, account_id, value_date, amount,
current_balance AS balance
FROM v_transactions
) t
WHERE account_id = 1
MODEL
PARTITION BY (account_id)
DIMENSION BY (
ROW_NUMBER() OVER (ORDER BY value_date DESC, id DESC) AS rn
)
MEASURES (value_date, amount, balance)
RULES (
balance[rn > 1] = balance[cv(rn) - 1] - amount[cv(rn) - 1]
)
ORDER BY rn ASC
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
RULES (
balance[rn > 1] = balance[cv(rn) - 1]
- amount [cv(rn) - 1]
)
-- does it look familiar?
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
--------------------------------------------------------------------------------
| Id | Operation | Name | A-Rows | A-Time |
--------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 50 |00:00:00.02 |
| 1 | SORT ORDER BY | | 50 |00:00:00.02 |
| 2 | SQL MODEL ORDERED | | 1101 |00:00:00.02 |
| 3 | WINDOW SORT | | 1101 |00:00:00.01 |
| 4 | NESTED LOOPS | | 1101 |00:00:00.01 |
| 5 | TABLE ACCESS BY INDEX ROWID| T_ACCOUNTS | 1 |00:00:00.01 |
|* 6 | INDEX UNIQUE SCAN | SYS_C006991 | 1 |00:00:00.01 |
|* 7 | TABLE ACCESS FULL | T_TRANSACTIONS | 1101 |00:00:00.01 |
--------------------------------------------------------------------------------
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
The MODEL clause is
Oracle’s most
powerful and
underused feature
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Our vision at Data Geekery - Revisited
- SQL dominates database systems
- SQL is expressive
- SQL is type safe
SQL is a device whose mystery is
only exceeded by its power!
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Our vision at Data Geekery - Revisited
- SQL dominates database systems
- SQL is expressive
- SQL is type safe
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Our vision at Data Geekery - Revisited
jOOQ is the best way
to write SQL in Java
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
SELECT
t.*,
t.current_balance - NVL(
SUM(t.amount) OVER (
PARTITION BY t.account_id
ORDER BY t.value_date DESC,
t.id DESC
ROWS BETWEEN UNBOUNDED PRECEDING
AND 1 PRECEDING
),
0) AS balance
FROM v_transactions t
WHERE t.account_id = 1
ORDER BY t.value_date DESC,
t.id DESC
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
DSL.using(connection)
.select(t.VALUE_DATE,
t.AMOUNT,
t.CURRENT_BALANCE.sub(
sum(t.AMOUNT).over(
partitionBy(t.ACCOUNT_ID)
.orderBy (t.VALUE_DATE.desc(),
t.ID .desc())
.rowsBetweenUnboundedPreceding()
.andPreceding(1)
)
).nvl(0).as("balance"))
.from (V_TRANSACTIONS.as("t"))
.where (t.ACCOUNT_ID.eq(1))
.orderBy(t.VALUE_DATE.desc(),
t.ID .desc())
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Thank you
3-month jOOQ Enterprise trial:
• Send «JUGS-BE-SQL-2014» to
sales@datageekery.com
More free Java / SQL knowledge on:
• Blog: http://blog.jooq.org
• Twitter: @JavaOOQ
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
There is SQL before and
after window functions
This just in…
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Image Copyright © fanpictor.com
Use-case: Choreo export
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Use-case: Choreo export as Excel
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Use-case: Choreo export as Excel
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Use-case: Choreo export as Excel
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
WITH data AS (SELECT d.*,
row(sector, row, scene1, scene2) block
FROM d)
SELECT data.*,
CASE WHEN LAG (block) OVER (o) IS DISTINCT FROM block
AND LEAD(block) OVER (o) IS DISTINCT FROM block
THEN 'start / stop'
WHEN LAG (block) OVER (o) IS DISTINCT FROM block
THEN 'start'
WHEN LEAD(block) OVER (o) IS DISTINCT FROM block
THEN 'stop'
ELSE '' END start_stop,
COUNT(*) OVER (PARTITION BY sector, row, scene1, scene2)
FROM data
WINDOW o AS (ORDER BY sector, row, seat)
ORDER BY sector, row, seat
Full example: http://blog.jooq.org/2014/04/15/how-to-do-this-with-sql-of-course
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Full example: http://blog.jooq.org/2014/04/15/how-to-do-this-with-sql-of-course
WITH data AS (SELECT d.*,
row(sector, row, scene1, scene2) block
FROM d)
SELECT data.*,
CASE WHEN LAG (block) OVER (o) IS DISTINCT FROM block
AND LEAD(block) OVER (o) IS DISTINCT FROM block
THEN 'start / stop'
WHEN LAG (block) OVER (o) IS DISTINCT FROM block
THEN 'start'
WHEN LEAD(block) OVER (o) IS DISTINCT FROM block
THEN 'stop'
ELSE '' END start_stop,
COUNT(*) OVER (PARTITION BY sector, row, scene1, scene2)
FROM data
WINDOW o AS (ORDER BY sector, row, seat)
ORDER BY sector, row, seat
We can compare rows with each other, not only
columns!
Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0
NoSQL? No, SQL!
Full example: http://blog.jooq.org/2014/04/15/how-to-do-this-with-sql-of-course
WITH data AS (SELECT d.*,
row(sector, row, scene1, scene2) block
FROM d)
SELECT data.*,
CASE WHEN LAG (block) OVER (o) IS DISTINCT FROM block
AND LEAD(block) OVER (o) IS DISTINCT FROM block
THEN 'start / stop'
WHEN LAG (block) OVER (o) IS DISTINCT FROM block
THEN 'start'
WHEN LEAD(block) OVER (o) IS DISTINCT FROM block
THEN 'stop'
ELSE '' END start_stop,
COUNT(*) OVER (PARTITION BY sector, row, scene1, scene2)
FROM data
WINDOW o AS (ORDER BY sector, row, seat)
ORDER BY sector, row, seat
We can reuse window specifications!

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NoSQL? No, SQL! – How to Calculate Running Totals - Our Talk at the JUGS Bern

  • 1. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL, the underestimated “Big Data” technology
  • 2. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! No – tation Seen at the 2013 O’Reilly Strata Conf: History of NoSQL by Mark Madsen. Picture published by Edd Dumbill
  • 3. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! NoSQL? NoSQL? No, SQL!
  • 4. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Our vision at Data Geekery - SQL dominates database systems - SQL is very expressive - SQL is very type safe SQL is a device whose mystery is only exceeded by its power!
  • 5. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Me – @lukaseder Java developers can get back in control of SQL with jOOQ - Head of R&D at Data Geekery GmbH - SQL Aficionado - Java Aficionado
  • 6. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Big Data? NoSQL? - You’re giving up on ACID - You’re giving up on type safety - You’re giving up on standards - You’re giving up on tooling - You’re giving up on relational algebra - You haven’t asked operations - You don’t actually have «Big Data»
  • 7. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Big Data? NoSQL? - You’re giving up on ACID - You’re giving up on type safety - You’re giving up on standards - You’re giving up on tooling - You’re giving up on relational algebra - You haven’t asked operations - You don’t actually have «Big Data»
  • 8. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Also Not SQL @Entity @Table(name = "EVENTS") public class Event { private Long id; private String title; private Date date; @Id @GeneratedValue(generator = "increment") @GenericGenerator(name = "increment", strategy = "increment") public Long getId() { /* … */ } @Temporal(TemporalType.TIMESTAMP) @Column(name = "EVENT_DATE") public Date getDate() { /* … */ }
  • 9. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Also Not SQL – Annotatiomania™ @OneToMany(mappedBy = "destCustomerId") @ManyToMany @Fetch(FetchMode.SUBSELECT) @JoinTable( name = "customer_dealer_map", joinColumns = { @JoinColumn(name = "customer_id", referencedColumnName = "id") }, inverseJoinColumns = { @JoinColumn(name = "dealer_id", referencedColumnName = "id") } ) private Collection dealers; Found at http://stackoverflow.com/q/17491912/521799
  • 10. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Also Not SQL – JPA 3.0 Preview @OneToMany @OneToManyMore @AnyOne @AnyBody @ManyToMany @Many @Fetch @FetchMany @FetchWithDiscriminator(name = "no_name") @JoinTable(joinColumns = { @JoinColumn(name = "customer_id", referencedColumnName = "id") }) @PrefetchJoinWithDiscriminator @IfJoiningAvoidHashJoins @ButUseHashJoinsWhenMoreThan(records = 1000) @XmlDataTransformable @SpringPrefechAdapter private Collection employees; Might not be true
  • 11. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Shocker! You can now write SQL in Java. JDBC
  • 12. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL in Java 7 – JDBC try (PreparedStatement stmt = c.prepareStatement(sql); ResultSet rs = stmt.executeQuery()) { while (rs.next()) { System.out.println( new Schema(rs.getString("SCHEMA_NAME"), rs.getBoolean("IS_DEFAULT")) ); } }
  • 13. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL in Java 8 – jOOQ DSL.using(c) .fetch(sql) .map(rs -> new Schema( rs.getValue("SCHEMA_NAME", String.class), rs.getValue("IS_DEFAULT", boolean.class) )) .forEach(System.out::println);
  • 14. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Typesafe SQL in Java – jOOQ DSL.using(c) .select(s.SCHEMA_NAME, s.IS_DEFAULT) .from(INFORMATION_SCHEMA.SCHEMATA.as("s")) .orderBy(s.SCHEMA_NAME) .map(rs -> new Schema( rs.getValue(s.SCHEMA_NAME), rs.getValue(s.IS_DEFAULT) )) .forEach(System.out::println);
  • 15. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL in Java 8 – Spring JDBC new JdbcTemplate( new SingleConnectionDataSource(c, true)) .query(sql, (rs, rowNum) -> new Schema( rs.getString("SCHEMA_NAME"), rs.getBoolean("IS_DEFAULT") )) .forEach(System.out::println);
  • 16. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL in Java 8 – Apache DbUtils new QueryRunner() .query(c, sql, new ArrayListHandler()) .stream() .map(array -> new Schema( (String) array[0], (Boolean) array[1] )) .forEach(System.out::println);
  • 17. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL in Groovy sql.eachRow( 'select * from tableName' ) { println "$it.id -- ${it.firstName} --" }
  • 18. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! When you should use SQL – indicators - You need JOINs, UNIONs - You need functions, aggregations - You need bulk reads / writes Calculations should be done close to the data
  • 19. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Please, run that calculation in your DB
  • 20. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL Trivia – NULL -- What does this query return? SELECT 1 AS a FROM dual WHERE 1 IN (NULL) UNION ALL SELECT 2 AS a FROM dual WHERE NOT(1 IN (NULL))
  • 21. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL Trivia – NULL -- What does this query return? SELECT 1 AS a FROM dual WHERE 1 IN (NULL) UNION ALL SELECT 2 AS a FROM dual WHERE NOT(1 IN (NULL))
  • 22. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL Trivia – NULL -- Nothing! It’s the same as this SELECT 1 AS a FROM dual WHERE 1 = NULL UNION ALL SELECT 2 AS a FROM dual WHERE 1 != NULL
  • 23. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL Trivia – NULL -- Nothing! It’s the same as this SELECT 1 AS a FROM dual WHERE “UNKNOWN” UNION ALL SELECT 2 AS a FROM dual WHERE “UNKNOWN”
  • 24. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL Trivia – Oracle VARCHAR2 -- What does this query return? SELECT 1 AS a FROM dual WHERE '' = '' UNION ALL SELECT 2 AS a FROM dual WHERE 'a' != ''
  • 25. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL Trivia – Oracle VARCHAR2 -- Nope! Nothing again (only in Oracle). SELECT 1 AS a FROM dual WHERE NULL = NULL UNION ALL SELECT 2 AS a FROM dual WHERE 'a' != NULL
  • 26. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SQL Trivia – Oracle VARCHAR2 -- Nope! Nothing again (only in Oracle). SELECT 1 AS a FROM dual WHERE NULL = NULL UNION ALL SELECT 2 AS a FROM dual WHERE 'a' != NULL
  • 27. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Stockholm Syndrome: We love JavaScript SQL
  • 28. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Winston Churchill: SQL is the worst form of database querying, except for all the other forms.
  • 29. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Let’s calculate a running total SELECT * FROM v_transactions WHERE account_id = 1 ORDER BY value_date DESC, id DESC
  • 30. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Let’s calculate a running total | ID | VALUE_DATE | AMOUNT | |------|------------|--------| | 9997 | 2014-03-18 | 99.17 | | 9981 | 2014-03-16 | 71.44 | | 9979 | 2014-03-16 | -94.60 | | 9977 | 2014-03-16 | -6.96 | | 9971 | 2014-03-15 | -65.95 |
  • 31. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Let’s calculate a running total | ID | VALUE_DATE | AMOUNT | BALANCE | |------|------------|--------|------------| | 9997 | 2014-03-18 | 99.17 | 19985.81 | | 9981 | 2014-03-16 | 71.44 | 19886.64 | | 9979 | 2014-03-16 | -94.60 | 19815.20 | | 9977 | 2014-03-16 | -6.96 | 19909.80 | | 9971 | 2014-03-15 | -65.95 | 19916.76 |
  • 32. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Let’s calculate a running total | ID | VALUE_DATE | AMOUNT | BALANCE | |------|------------|--------|------------| | 9997 | 2014-03-18 | +99.17 =19985.81 | | 9981 | 2014-03-16 | 71.44 | +19886.64 | | 9979 | 2014-03-16 | -94.60 | 19815.20 | | 9977 | 2014-03-16 | -6.96 | 19909.80 | | 9971 | 2014-03-15 | -65.95 | 19916.76 |
  • 33. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Let’s calculate a running total | ID | VALUE_DATE | AMOUNT | BALANCE | |------|------------|--------|------------| | 9997 | 2014-03-18 | 99.17 | 19985.81 | | 9981 | 2014-03-16 | +71.44 =19886.64 | | 9979 | 2014-03-16 | -94.60 | +19815.20 | | 9977 | 2014-03-16 | -6.96 | 19909.80 | | 9971 | 2014-03-15 | -65.95 | 19916.76 |
  • 34. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Let’s calculate a running total | ID | VALUE_DATE | AMOUNT | BALANCE | |------|------------|--------|------------| | 9997 | 2014-03-18 | 99.17 | 19985.81 | | 9981 | 2014-03-16 | +71.44 =19886.64 | n | 9979 | 2014-03-16 | -94.60 | +19815.20 | n+1 | 9977 | 2014-03-16 | -6.96 | 19909.80 | | 9971 | 2014-03-15 | -65.95 | 19916.76 |BALANCE(ROWn) = BALANCE(ROWn+1) + AMOUNT(ROWn) BALANCE(ROWn+1) = BALANCE(ROWn) – AMOUNT(ROWn)
  • 35. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! How can we do it?
  • 36. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! How can we do it? - In Java - Calculate on UPDATE - Nested SELECT - Recursive SQL - Window functions - MODEL clause (Oracle) - Stored procedures
  • 37. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! How can we do it? – With SQL! - In Java - Calculate on UPDATE - Nested SELECT - Recursive SQL - Window functions - MODEL clause (Oracle) - Stored procedures
  • 38. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Using nested SELECTs
  • 39. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SELECT t1.*, t1.current_balance - ( SELECT NVL(SUM(amount), 0) FROM v_transactions t2 WHERE t2.account_id = t1.account_id AND (t2.value_date, t2.id) > (t1.value_date, t1.id) ) AS balance FROM v_transactions t1 WHERE t1.account_id = 1 ORDER BY t1.value_date DESC, t1.id DESC
  • 40. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SELECT t1.*, t1.current_balance - ( SELECT NVL(SUM(amount), 0) FROM v_transactions t2 WHERE t2.account_id = t1.account_id AND (t2.value_date, t2.id) > (t1.value_date, t1.id) ) AS balance FROM v_transactions t1 WHERE t1.account_id = 1 ORDER BY t1.value_date DESC, t1.id DESC
  • 41. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SELECT t1.*, t1.current_balance - ( SELECT NVL(SUM(amount), 0) FROM v_transactions t2 WHERE t2.account_id = t1.account_id AND ((t2.value_date > t1.value_date) OR (t2.value_date = t1.value_date AND t2.id > t1.id)) ) AS balance FROM v_transactions t1 WHERE t1.account_id = 1 ORDER BY ...
  • 42. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Using nested SELECTs | ID | VALUE_DATE | AMOUNT | BALANCE | |------|------------|--------|------------| | 9997 | 2014-03-18 -(99.17)| +19985.81 | | 9981 | 2014-03-16 -(71.44)| 19886.64 | | 9979 | 2014-03-16 -(-94.60)| 19815.20 | | 9977 | 2014-03-16 | -6.96 | =19909.80 | | 9971 | 2014-03-15 | -65.95 | 19916.76 |
  • 43. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! | Id | Operation | Name | A-Rows | A-Time | ------------------------------------------------------------------------------ | 0 | SELECT STATEMENT | | 50 |00:00:00.77 | | 1 | SORT AGGREGATE | | 1101 |00:00:00.76 | |* 2 | TABLE ACCESS BY INDEX ROWID | T_TRANSACTIONS | 605K|00:00:00.69 | |* 3 | INDEX RANGE SCAN | I_TRX_ACCO_ID | 1212K|00:00:00.21 | | 4 | SORT ORDER BY | | 50 |00:00:00.77 | | 5 | NESTED LOOPS | | 1101 |00:00:00.01 | | 6 | TABLE ACCESS BY INDEX ROWID| T_ACCOUNTS | 1 |00:00:00.01 | |* 7 | INDEX UNIQUE SCAN | SYS_C006991 | 1 |00:00:00.01 | | 8 | TABLE ACCESS BY INDEX ROWID| T_TRANSACTIONS | 1101 |00:00:00.01 | |* 9 | INDEX RANGE SCAN | I_TRX_ACCO_ID | 1101 |00:00:00.01 | ------------------------------------------------------------------------------
  • 44. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Using recursive SQL
  • 45. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! We need to number transactions | ID | VALUE_DATE | AMOUNT | TRANSACTION_NR | |------|------------|--------|----------------| | 9997 | 2014-03-18 | 99.17 | 1 | | 9981 | 2014-03-16 | 71.44 | 2 | | 9979 | 2014-03-16 | -94.60 | 3 | | 9977 | 2014-03-16 | -6.96 | 4 | | 9971 | 2014-03-15 | -65.95 | 5 |
  • 46. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! CREATE OR REPLACE VIEW v_transactions_by_time AS SELECT t.*, ROW_NUMBER() OVER ( PARTITION BY account_id ORDER BY t.value_date DESC, t.id DESC ) AS transaction_number FROM v_transactions t;
  • 47. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! WITH ordered_with_balance ( account_id, value_date, amount, balance, transaction_number ) AS ( SELECT t1.account_id, t1.value_date, t1.amount, t1.current_balance, t1.transaction_number FROM v_transactions_by_time t1 WHERE t1.transaction_number = 1 UNION ALL SELECT t1.account_id, t1.value_date, t1.amount, t2.balance - t2.amount, t1.transaction_number FROM ordered_with_balance t2 JOIN v_transactions_by_time t1 ON t1.transaction_number = t2.transaction_number + 1 AND t1.account_id = t2.account_id ) SELECT * FROM ordered_with_balance WHERE account_id = 1 ORDER BY transaction_number ASC
  • 48. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! WITH ordered_with_balance ( account_id, value_date, amount, balance, transaction_number ) AS ( SELECT t1.account_id, t1.value_date, t1.amount, t1.current_balance, t1.transaction_number FROM v_transactions_by_time t1 WHERE t1.transaction_number = 1 UNION ALL SELECT t1.account_id, t1.value_date, t1.amount, t2.balance - t2.amount, t1.transaction_number FROM ordered_with_balance t2 JOIN v_transactions_by_time t1 ON t1.transaction_number = t2.transaction_number + 1 AND t1.account_id = t2.account_id ) SELECT * FROM ordered_with_balance WHERE account_id = 1 ORDER BY transaction_number ASC
  • 49. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! WITH ordered_with_balance ( account_id, value_date, amount, balance, transaction_number ) AS ( SELECT t1.account_id, t1.value_date, t1.amount, t1.current_balance, t1.transaction_number FROM v_transactions_by_time t1 WHERE t1.transaction_number = 1 UNION ALL SELECT t1.account_id, t1.value_date, t1.amount, t2.balance - t2.amount, t1.transaction_number FROM ordered_with_balance t2 JOIN v_transactions_by_time t1 ON t1.transaction_number = t2.transaction_number + 1 AND t1.account_id = t2.account_id ) SELECT * FROM ordered_with_balance WHERE account_id = 1 ORDER BY transaction_number ASC
  • 50. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! --------------------------------------------------------------------------------------------------- | Id | Operation | Name | A-Rows | A-Time | --------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 50 |00:00:35.29 | | 1 | SORT ORDER BY | | 50 |00:00:35.29 | |* 2 | VIEW | | 1101 |00:00:35.29 | | 3 | UNION ALL (RECURSIVE WITH) BREADTH FIRST| | 9999 |00:00:35.28 | |* 4 | VIEW | V_TRANSACTIONS_BY_TIME | 9 |00:00:00.03 | |* 5 | WINDOW SORT PUSHED RANK | | 18 |00:00:00.03 | | 6 | NESTED LOOPS | | 9999 |00:00:00.01 | | 7 | NESTED LOOPS | | 9999 |00:00:00.01 | | 8 | TABLE ACCESS FULL | T_ACCOUNTS | 10 |00:00:00.01 | |* 9 | INDEX RANGE SCAN | I_TRX_ACCO_ID | 9999 |00:00:00.01 | | 10 | TABLE ACCESS BY INDEX ROWID | T_TRANSACTIONS | 9999 |00:00:00.01 | |* 11 | HASH JOIN | | 9990 |00:00:35.08 | | 12 | VIEW | V_TRANSACTIONS_BY_TIME | 11M|00:00:29.13 | | 13 | WINDOW SORT | | 11M|00:00:27.19 | | 14 | NESTED LOOPS | | 11M|00:00:13.62 | | 15 | NESTED LOOPS | | 11M|00:00:03.89 | | 16 | INDEX FAST FULL SCAN | SYS_C006991 | 11450 |00:00:00.06 | |* 17 | INDEX RANGE SCAN | I_TRX_ACCO_ID | 11M|00:00:02.18 | | 18 | TABLE ACCESS BY INDEX ROWID | T_TRANSACTIONS | 11M|00:00:06.15 | | 19 | RECURSIVE WITH PUMP | | 9999 |00:00:00.01 | ---------------------------------------------------------------------------------------------------
  • 51. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Using window functions
  • 52. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SELECT t.*, t.current_balance - NVL( SUM(t.amount) OVER ( PARTITION BY t.account_id ORDER BY t.value_date DESC, t.id DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING ), 0) AS balance FROM v_transactions t WHERE t.account_id = 1 ORDER BY t.value_date DESC, t.id DESC
  • 53. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SELECT t.*, t.current_balance - NVL( SUM(t.amount) OVER ( PARTITION BY t.account_id ORDER BY t.value_date DESC, t.id DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING ), 0) AS balance FROM v_transactions t WHERE t.account_id = 1 ORDER BY t.value_date DESC, t.id DESC
  • 54. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Using window functions | ID | VALUE_DATE | AMOUNT | BALANCE | |------|------------|--------|------------| | 9997 | 2014-03-18 -(99.17)| +19985.81 | | 9981 | 2014-03-16 -(71.44)| 19886.64 | | 9979 | 2014-03-16 -(-94.60)| 19815.20 | | 9977 | 2014-03-16 | -6.96 | =19909.80 | | 9971 | 2014-03-15 | -65.95 | 19916.76 |
  • 55. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! ------------------------------------------------------------------------------ | Id | Operation | Name | A-Rows | A-Time | ------------------------------------------------------------------------------ | 0 | SELECT STATEMENT | | 50 |00:00:00.01 | | 1 | WINDOW SORT | | 50 |00:00:00.01 | | 2 | NESTED LOOPS | | 1101 |00:00:00.01 | | 3 | TABLE ACCESS BY INDEX ROWID| T_ACCOUNTS | 1 |00:00:00.01 | |* 4 | INDEX UNIQUE SCAN | SYS_C006991 | 1 |00:00:00.01 | | 5 | TABLE ACCESS BY INDEX ROWID| T_TRANSACTIONS | 1101 |00:00:00.01 | |* 6 | INDEX RANGE SCAN | I_TRX_ACCO_ID | 1101 |00:00:00.01 | ------------------------------------------------------------------------------
  • 56. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! «jOOQ» 10% discount code Performance – Please read this book Markus Winand from Use-The-Index-Luke.com ROI of 83’800% (time AND money) Achieve proper indexing and performance in popular RDBMS
  • 57. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Using the Oracle MODEL clause
  • 58. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SELECT account_id, value_date, amount, balance FROM ( SELECT id, account_id, value_date, amount, current_balance AS balance FROM v_transactions ) t WHERE account_id = 1 MODEL PARTITION BY (account_id) DIMENSION BY ( ROW_NUMBER() OVER (ORDER BY value_date DESC, id DESC) AS rn ) MEASURES (value_date, amount, balance) RULES ( balance[rn > 1] = balance[cv(rn) - 1] - amount[cv(rn) - 1] ) ORDER BY rn ASC
  • 59. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SELECT account_id, value_date, amount, balance FROM ( SELECT id, account_id, value_date, amount, current_balance AS balance FROM v_transactions ) t WHERE account_id = 1 MODEL PARTITION BY (account_id) DIMENSION BY ( ROW_NUMBER() OVER (ORDER BY value_date DESC, id DESC) AS rn ) MEASURES (value_date, amount, balance) RULES ( balance[rn > 1] = balance[cv(rn) - 1] - amount[cv(rn) - 1] ) ORDER BY rn ASC
  • 60. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! RULES ( balance[rn > 1] = balance[cv(rn) - 1] - amount [cv(rn) - 1] ) -- does it look familiar?
  • 61. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! -------------------------------------------------------------------------------- | Id | Operation | Name | A-Rows | A-Time | -------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 50 |00:00:00.02 | | 1 | SORT ORDER BY | | 50 |00:00:00.02 | | 2 | SQL MODEL ORDERED | | 1101 |00:00:00.02 | | 3 | WINDOW SORT | | 1101 |00:00:00.01 | | 4 | NESTED LOOPS | | 1101 |00:00:00.01 | | 5 | TABLE ACCESS BY INDEX ROWID| T_ACCOUNTS | 1 |00:00:00.01 | |* 6 | INDEX UNIQUE SCAN | SYS_C006991 | 1 |00:00:00.01 | |* 7 | TABLE ACCESS FULL | T_TRANSACTIONS | 1101 |00:00:00.01 | --------------------------------------------------------------------------------
  • 62. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! The MODEL clause is Oracle’s most powerful and underused feature
  • 63. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Our vision at Data Geekery - Revisited - SQL dominates database systems - SQL is expressive - SQL is type safe SQL is a device whose mystery is only exceeded by its power!
  • 64. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Our vision at Data Geekery - Revisited - SQL dominates database systems - SQL is expressive - SQL is type safe
  • 65. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Our vision at Data Geekery - Revisited jOOQ is the best way to write SQL in Java
  • 66. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! SELECT t.*, t.current_balance - NVL( SUM(t.amount) OVER ( PARTITION BY t.account_id ORDER BY t.value_date DESC, t.id DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING ), 0) AS balance FROM v_transactions t WHERE t.account_id = 1 ORDER BY t.value_date DESC, t.id DESC
  • 67. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! DSL.using(connection) .select(t.VALUE_DATE, t.AMOUNT, t.CURRENT_BALANCE.sub( sum(t.AMOUNT).over( partitionBy(t.ACCOUNT_ID) .orderBy (t.VALUE_DATE.desc(), t.ID .desc()) .rowsBetweenUnboundedPreceding() .andPreceding(1) ) ).nvl(0).as("balance")) .from (V_TRANSACTIONS.as("t")) .where (t.ACCOUNT_ID.eq(1)) .orderBy(t.VALUE_DATE.desc(), t.ID .desc())
  • 68. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Thank you 3-month jOOQ Enterprise trial: • Send «JUGS-BE-SQL-2014» to sales@datageekery.com More free Java / SQL knowledge on: • Blog: http://blog.jooq.org • Twitter: @JavaOOQ
  • 69. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! There is SQL before and after window functions This just in…
  • 70. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Image Copyright © fanpictor.com Use-case: Choreo export
  • 71. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Use-case: Choreo export as Excel
  • 72. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Use-case: Choreo export as Excel
  • 73. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Use-case: Choreo export as Excel
  • 74. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! WITH data AS (SELECT d.*, row(sector, row, scene1, scene2) block FROM d) SELECT data.*, CASE WHEN LAG (block) OVER (o) IS DISTINCT FROM block AND LEAD(block) OVER (o) IS DISTINCT FROM block THEN 'start / stop' WHEN LAG (block) OVER (o) IS DISTINCT FROM block THEN 'start' WHEN LEAD(block) OVER (o) IS DISTINCT FROM block THEN 'stop' ELSE '' END start_stop, COUNT(*) OVER (PARTITION BY sector, row, scene1, scene2) FROM data WINDOW o AS (ORDER BY sector, row, seat) ORDER BY sector, row, seat Full example: http://blog.jooq.org/2014/04/15/how-to-do-this-with-sql-of-course
  • 75. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Full example: http://blog.jooq.org/2014/04/15/how-to-do-this-with-sql-of-course WITH data AS (SELECT d.*, row(sector, row, scene1, scene2) block FROM d) SELECT data.*, CASE WHEN LAG (block) OVER (o) IS DISTINCT FROM block AND LEAD(block) OVER (o) IS DISTINCT FROM block THEN 'start / stop' WHEN LAG (block) OVER (o) IS DISTINCT FROM block THEN 'start' WHEN LEAD(block) OVER (o) IS DISTINCT FROM block THEN 'stop' ELSE '' END start_stop, COUNT(*) OVER (PARTITION BY sector, row, scene1, scene2) FROM data WINDOW o AS (ORDER BY sector, row, seat) ORDER BY sector, row, seat We can compare rows with each other, not only columns!
  • 76. Copyright (c) 2009-2014 by Data Geekery GmbH. Slides licensed under CC BY SA 3.0 NoSQL? No, SQL! Full example: http://blog.jooq.org/2014/04/15/how-to-do-this-with-sql-of-course WITH data AS (SELECT d.*, row(sector, row, scene1, scene2) block FROM d) SELECT data.*, CASE WHEN LAG (block) OVER (o) IS DISTINCT FROM block AND LEAD(block) OVER (o) IS DISTINCT FROM block THEN 'start / stop' WHEN LAG (block) OVER (o) IS DISTINCT FROM block THEN 'start' WHEN LEAD(block) OVER (o) IS DISTINCT FROM block THEN 'stop' ELSE '' END start_stop, COUNT(*) OVER (PARTITION BY sector, row, scene1, scene2) FROM data WINDOW o AS (ORDER BY sector, row, seat) ORDER BY sector, row, seat We can reuse window specifications!